In addition to showing how and when to use these components in developing a data model, it includes far more advice on the process of developing a data model than other courses, including specific methods for getting subject matter experts involved and maintaining their commitment. The content is presented within the context of a clearly-defined, three-phase data modelling methodology that supports progressive detail and precision. Learning objectives include:

Apply a variety of techniques that support the active participation and engagement of business professionals and subject matter experts

Use entity-relationship modelling to depict facts and rules about business entities at different levels of detail, including conceptual (overview) and logical (detailed) models

Use top-down and bottom-up approaches to initiating development of a data model

Recognise the four basic patterns in data modelling, and when to use them

Effectively use definitions and assertions (“rules”) as part of data modelling

Use an intuitive approach to data normalisation within an entity-relationship model

Apply various techniques for discovering and meeting additional requirements

Read a data model, and communicate with specialists using the appropriate terminology